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The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts.

, and . IWSLT, International Workshop on Spoken Language Translation, (2016)

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Inversion transduction Grammar Coverage of Arabic-English Word Alignment for Tree-Structured Statistical Machine Translation., , and . SLT, page 234-237. IEEE, (2006)An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool., , , , and . ICST, page 288-299. IEEE, (2019)A Review of Human Evaluation for Style Transfer., , , , and . CoRR, (2021)Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection., , , , and . CoRR, (2023)An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , and . CoRR, (2018)Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists., , , , and . SENSEVAL@ACL, Association for Computational Linguistics, (2004)CNRC-TMT: Second Language Writing Assistant System Description., , and . SemEval@COLING, page 192-197. The Association for Computer Linguistics, (2014)The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts., and . IWSLT, International Workshop on Spoken Language Translation, (2016)Curriculum Learning for Domain Adaptation in Neural Machine Translation., , , , , and . NAACL-HLT (1), page 1903-1915. Association for Computational Linguistics, (2019)Retrofitting Sense-Specific Word Vectors Using Parallel Text., , and . HLT-NAACL, page 1378-1383. The Association for Computational Linguistics, (2016)